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The monitoring and acquisition of patients' physiological information are quite crucial for the further treatment. Wireless network of biomedical sensors shows great potential to significantly enhance the biometrics performance. Meanwhile, it poses prominent characteristics and challenges to medicos and engineers for its particular medical application(More)
The capsule endoscopy (CE) has gradually found its applications in hospitals because of its great advantage that it can view the entire small bowel with almost no invasiveness compared to traditional endoscopes and other imaging techniques for gastrointestinal diseases. However, a major issue with this new technology is that too many images produced by CE(More)
The capsule endoscopy (CE) has been widely used to diagnose the diseases in human digestive tract because of its great breakthrough that it can view the entire small bowel without invasiveness. However, a tough problem associated with this new technology is that too many images to be examined by eyes cause a huge burden to physicians, so it is very useful(More)
In this paper, the problem of delay-dependent stability for a class of networked control systems (NCSs) with uncertainties and time-varying delays is investigated. A continuous time model for a class of multi-input and multi-output (MIMO) NCSs with many independent sensors and actuators is proposed. Based on descriptor system approach combined with linear(More)
Teleoperations are desirable when robots are not able to deal with a certain task autonomously. On the other hand, using mobile robots equipped with sensors provide a way to acquire the information in a hazardous environment. With the mature and universal Internet technology, Internet-based teleoperation of robotic system has created new opportunities in(More)
In this paper, a knowledge based genetic algorithm (GA) for on-line path planning of multiple mobile robots in dynamic environments is proposed. The proposed GA uses a unique problem representation method to represent 2D robot environments with complex obstacle layouts and obstacles are allowed to be of arbitrary shapes. Correspondingly, an effective(More)
This paper introduces a self-tuning fuzzy PI+PD algorithm for processing the DC servo system of a four leg robot. The control process is online, of which the fuzzy rules are generated analytically. The inference and defuzzification of this fuzzy control method are based on phase plane and centroid, thus it costs less processing time. Through self-tuning(More)
A self-tuning PID controller based on adaptive genetic algorithm (AGA) and neural networks is presented. AGA optimizes not only the initial weights of the BP neural networks (BPNN) which optimizes parameters of PID, but also the optimum values of the following radial basis function neural networks (RBFNN) parameters: centers, variance and weights of the(More)
The paper proposed a range-based particle filtering localization method for static WSN (Wireless Sensor Network). In the method, every blind node in WSN localizes itself through local distance measurements. So the method is parallel. With the development of hardware, RSSI (Received Signal Strength Indicator) measurements were already hardwired in some(More)
Mobility pattern plays an important role in designing the wireless body sensor networks (WBSN) and also would affect the performance of WBSN in health care application. This paper is the first attempt to investigate the mobility model in WBSN based on the existing mobility models in wireless data networks and ad hoc networks. We first briefly review the(More)